Benchmarking the Efficiency of Automatically Generated Code Yuhao Qing

Neural Information Processing Systems 

Code generation models have increasingly become integral to aiding software development. Although current research has thoroughly examined the correctness of the code produced by code generation models, a vital aspect that plays a pivotal role in green computing and sustainability efforts -- the efficiency of the generated code -- has often been neglected.